Referring back to the Blazer Panels optimization question for which the data is repeated below and assuming the number of pallets you decide to manufacture of each type Tahoe, Pacific, Savannah, and Aspen is represented by X1, X2, X3, and X4 respectively, what is the objective function? Resources Required per Pallet of Paneling Type Tahoe Pacific Savannah Aspen Capacity Glue (quarts) 70 50 90 60 5800 Pressing (hours) 5 10 15 7 730 Pine chips (pounds) 400 500 400 300 29200 Oak chips (pounds) 400 700 250 500 60500 Profit per pallet $450 $1150 $800 $400 In case you need Excel: CalcUsingExcele 5,800X1 + 730X2 +29.200X3 + 60,500X4 400X1 + 700X2 + 250X3 + 500X4 1150X: +800X2 + 400X3 + 450X4 400X1500X2 + 400X3 + 300X, 450X1 + 1150X2 + 800X3 + 400X4 Referring back to the Blazer Panels optimization question for which the data is repeated below and assuming the number of pallets you decide to manufacture of each type Tahoe, Pacific, Savannah, and Aspen is represented by X1, X2, X3, and X4 respectively, which constraint(s) is(are) violated at solution X2=X2=X3=X4=20? Resources Required per Pallet of Paneling Type Tahoe Pacific Savannah Aspen Capacity Glue (quarts) 70 50 90 60 5800 Pressing (hours) 5 10 15 7 730 Pine chips (pounds) 400 500 400 300 29200 Oak chips (pounds) 400 700 250 500 60500 Profit per pallet $450 $1150 $800 $400 In case you need Excel: CalcUsingExcele Glue Capacity Pressing Hours Capacity Pine Chips Capacity Both Pressing Hours and Oak Chips Capacity Both Pressing Hours and Pine Chips Capacity